a) rational policing practice
b) discriminatory to use that information?
Seems to me, it's both.
> But there are definitely many ways to abuse this technology as well.
I don't feel abuse is the main issue. Any use of it is discriminatory. Should we trade off? Tough question.
On 22 April 2014 11:34, Marek Rei <marek.rei at gmail.com> wrote:
> Here's an interesting article about how Chicago police is already applying
> such technology (in somewhat troubling ways):
> I wouldn't say crime prediction technology by itself is evil, it's more a
> question of how it's used. For example, I wouldn't have a problem with a
> system that can prioritise a large list of likely suspects after a crime
> has been committed, or is able to flag a social media message calling for a
> hate crime. But there are definitely many ways to abuse this technology as
> On Tue, Apr 22, 2014 at 10:55 AM, Christian Pietsch <
> chr.pietsch at googlemail.com> wrote:
>> Hi Matthew,
>> so you want to build a heuristic precrime detector based on routine
>> activities observed on social networks. Does that mean that if, say, I
>> tend to update my status at the same time as some terrorist in your
>> training set, your software will label me as a likely terrorist and
>> put me on a no-fly list? Will I get a chance to prove my innocence?
>> When you have some spare time, try to watch Minority Report. Or did
>> this movie inspire your project? Then you must have misunderstood its
>> Your suspect
>> On Mon, Apr 21, 2014 at 11:34:11AM -0400, Matthew Gerber wrote:
>> > Hello,
>> > A new research position has opened within our lab, and we are seeking
>> > Ph.D., and post-doc researchers.
>> > One-sentence summary: We are mining social media for indicators of
>> > individual routine activities for the purpose of improved crime
>> > Longer summary: This project focuses on the spatiotemporal prediction of
>> > localized attacks carried out against individuals in urban areas. We
>> > an attack as the outcome of a point process governed by the interaction
>> > attackers, targets, and the physical environment. Our ultimate goal is
>> > predict future outcomes of this process in order to increase the
>> > of human populations and U.S. assets and interests. However, achieving
>> > goal requires a deeper understanding of how attack outcomes correlate
>> > the routine activities of individuals in an area. The proposed research
>> > will generate this understanding and in doing so will answer questions
>> > as the following: What are the dimensions along which individuals’
>> > activities should be quantified for the purpose of attack prediction?
>> > can measurements along these dimensions be taken automatically and with
>> > minimal expense (e.g., via social media)? What are the implications of
>> > measurements for attack prediction performance? Subsuming these
>> > is the issue of geographic variation: do our answers change when moving
>> > from a major U.S. city to a major U.K. city? There has been plenty of
>> > previous work on spatiotemporal attack prediction (see our Asymmetric
>> > Threat<
>> > however, these basic questions remain unanswered, leaving a
>> > substantial gap in our understanding of attack processes and their
>> > relationships with individuals’ routine activities.
>> > More information can be found
>> > here<
>> > .
>> > Sincerely,
>> > Matthew S. Gerber, Ph.D.
>> > Research Assistant Professor
>> > Department of Systems and Information Engineering
>> > University of Virginia
>> > _______________________________________________
>> > UNSUBSCRIBE from this page: http://mailman.uib.no/options/corpora
>> > Corpora mailing list
>> > Corpora at uib.no
>> > http://mailman.uib.no/listinfo/corpora
>> UNSUBSCRIBE from this page: http://mailman.uib.no/options/corpora
>> Corpora mailing list
>> Corpora at uib.no
> UNSUBSCRIBE from this page: http://mailman.uib.no/options/corpora
> Corpora mailing list
> Corpora at uib.no
-- ======================================== Adam Kilgarriff <http://www.kilgarriff.co.uk/> adam at lexmasterclass.com Director Lexical Computing Ltd<http://www.sketchengine.co.uk/>
Visiting Research Fellow University of Leeds<http://leeds.ac.uk>
*Corpora for all* with the Sketch Engine <http://www.sketchengine.co.uk>
*DANTE: a lexical database for English <http://www.webdante.com> * ======================================== -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 8229 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20140422/dfc49f67/attachment.txt>